Multiobjective genetic discovery of driving strategies

Vehicle driving consumes time and energy (fuel, electricity etc.). Usually both have to be minimized. Minimizing the consumption of one of them leads to increasing the consumption of the other. To find driving strategies that take into consideration both objectives, we have implemented a multiobjective genetic algorithm that constructs driving strategies as sets of rules. Optimal sets of rules consist of nondominated solutions and therefore cannot be sorted based on quality since each solution represents a particular trade-off between the two objectives. The final strategy selection is done by the user who uses higher-level information to select the most preferred strategy from the found best solutions.